ZIP code
15929
in Dilltown, PennsylvaniaPopulation 112
55.09/ 100
Ranked #9,351 of 32,066 US ZIPs (top 29%)
Ranked #454 of 1,748 Pennsylvania ZIPs (top 26%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
Some domains have limited local data — read this Score as directional
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Colon-cancer screening
78.5%
in the top 0.6% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Expected annual disaster loss
$0
in the bottom 3.8% nationally
Lower is healthier
ST8thUS4thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Home broadband subscription
64%
in the bottom 3.8% nationally
Higher is healthier
ST3rdUS4thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Natural-disaster risk
in the bottom 4.9% nationally
Lower is healthier
ST17thUS5thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Transportation noise
0.10%
in the bottom 8.3% nationally
Lower is healthier
ST6thUS8thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Energy-cost burden
5.3%
in the top 6.9% nationally
Lower is healthier
ST89thUS93rdDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Distance to a nursing home
10.2 mi
in the top 10.8% nationally
Lower is healthier
ST96thUS89thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Arsenic in groundwater
1.5%
in the bottom 13.6% nationally
Lower is healthier
ST7thUS14thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Housing-cost burden
36%
in the top 16% nationally
Lower is healthier
ST91stUS84thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Floodplain exposure
16.7%
in the top 22% nationally
Lower is healthier
ST92ndUS78thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›The read
Given the gaps in coverage here, Dilltown, Pennsylvania (ZIP 15929) lands in the top 29% healthiest ZIPs nationally (9,351st) and the top 26% of Pennsylvania (454th), based on limited data; treat as directional.
On the partial data in hand, the profile shows what it can: modeled colon screening lands in the top 0.6% nationally, expected annual loss is in the bottom 3.8% nationally, and disaster risk resides in the bottom 4.9% nationally. Unemployment rests at the national minimum, shared with about 15% of ZIPs. Households without a vehicle lies at the national minimum, shared with about 16% of ZIPs. Modeled transportation noise sits in the bottom 8.3% nationally. Modeled extreme heat settles at the national minimum, shared with about 19% of ZIPs. Set against that, home broadband subscription registers in the bottom 3.8% nationally, and modeled energy burden stands in the top 6.9% nationally. Fiber broadband lands at the national minimum, shared with about 19% of ZIPs.
Held up against its neighbors, park land runs far lower than the surrounding ZIPs on this measure. Defined in plain terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The nearest ZIP ranking healthier overall is ZIP 15931, about 3.4 miles away.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 90%
16%
Preventive CarePartial
healthier than 97%
15%
About typical
Climate / Disaster Risk
healthier than 53%
6%
Holding it back
Social Need / SDOH
healthier than 9%
19%
Healthcare Access
healthier than 14%
6%
Not placed: Chronic Disease Burden and Risk Behavior — too little of each is measured here to compare reliably. They still count toward the score (together 38% of it); we just will not publish a standing we cannot stand behind.
No data: Mental Health and Disability — not measured in this ZIP, so it is left out of the score entirely rather than estimated.
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
15748
Pennsylvaniashares a border
Score 52.37
Closest healthier
15931
Pennsylvaniaabout 3.4 mi away
Score 55.13
Similar health profile
18435
Pennsylvania94% similar profile
Score 56.43
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| All teeth lost among adults aged >=65 years | 12.3% | 9.8–15.3 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 78.5% | 73.9–82.8 |
| Visited dentist or dental clinic in the past year among adults | 63.8% | 59.8–67.5 |
| Mammography use among women aged 50-74 years | 78.9% | 71.7–85.2 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 36.3% | 29.7–43.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.6% | 10.6% (3.1–25.8%) n=32,364 | 9.3% (2.1–21.6%) n=1,759 |
| Uninsured 18–64 | 9.4% | 9.0% (1.5–24.3%) n=32,286 | 6.3% (0.0–16.6%) n=1,753 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 7.1% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 64.0% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 36.0% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 64.0% | 78.7% (51.7–94.0%) n=32,322 | 80.1% (57.1–94.5%) n=1,758 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–3.3%) n=1,758 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–10.2%) n=1,763 |
| Single-parent households | 20.0% | 53.6% (37.3–74.1%) n=32,087 | 56.3% (38.5–72.8%) n=1,744 |
| Population 65+ | 5.4% | 19.4% (10.8–33.6%) n=32,553 | 21.1% (12.3–31.4%) n=1,763 |
| Median age | 22.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $162,500 | $222,200 ($100,300–$579,820) n=30,049 | $197,200 ($99,000–$382,120) n=1,649 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $983 ($701–$1,527) n=1,367 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 79.4 yr ± 1.84 | 78.9 yr (74.7–82.8) n=31,308 | 79.2 yr (76.0–82.0) n=1,730 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 1.84 years of 79.4, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured